Three tools with consistent naming (verb_noun pattern: brave_search, google_custom_search, bing_search) and clear descriptions (120-140 chars, within baseline 34-392 range). All tools have input schemas with type definitions and parameter descriptions. However, output schemas are not documented, LLMs cannot predict response structure. Error handling is minimal (generic 'Error: ' prefix). Parameters lack enums where applicable (e.g., 'country' and 'freshness' in brave_search should be constrained). No per-tool output documentation or pagination guidance despite search tools returning result lists.

• Document output schema for each tool. Example: 'Returns {results: [{title, url, snippet, date}], total_count, has_more}'. LLMs need to know what fields to extract.
• Convert 'country' and 'freshness' parameters to enums in brave_search schema. Replace description examples with formal enum constraints.
• Enhance error handling: categorize errors (retryable, user-fixable, fatal) and return actionable messages. E.g., 'Invalid country: got "XX". Supported: US, JP, GB, FR, DE, etc. Retry with valid code.'
• Add pagination parameters (limit, offset) to google_custom_search and bing_search. Cap results at 20-50 items per call and document in descriptions.
• Add per-parameter validation in execute() handlers. Validate query length, country codes, and freshness format before calling APIs. Return clear validation errors.